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Transfer Learning

2,822 papers

Papers per year

12
327
471
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'25

Papers

Vocabulary-free Image Classification NIPS 2023
Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation NIPS 2023
RD-Suite: A Benchmark for Ranking Distillation NIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NIPS 2023
Learning to Modulate pre-trained Models in RL NIPS 2023
Toward Re-Identifying Any Animal NIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NIPS 2023
One Fits All: Power General Time Series Analysis by Pretrained LM NIPS 2023
Image Captioners Are Scalable Vision Learners Too NIPS 2023
MathNAS: If Blocks Have a Role in Mathematical Architecture Design NIPS 2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning NIPS 2023
Geometry-Aware Adaptation for Pretrained Models NIPS 2023
Equivariant Adaptation of Large Pretrained Models NIPS 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NIPS 2023
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval AAAI 2023
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers AAAI 2023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023
Parameter-Efficient Model Adaptation for Vision Transformers AAAI 2023
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer AAAI 2023
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels AAAI 2023
SEPT: Towards Scalable and Efficient Visual Pre-training AAAI 2023
Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language AAAI 2023
Domain Generalised Faster R-CNN AAAI 2023